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Mlops Kubernetes engineer

Mlops Kubernetes engineer

Dataviv Technologies

5 years

|

0 Lacs

Gurugram Haryana India

Posted:1 week ago| Platform:

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Skills Required

kubernetes design deployment monitoring ml github azure devops jenkins fastapi microservices learning data aws automate provisioning configuration code logging model drift orchestration containerization docker development versioning tracking mlflow scripting python engineering terraform helm security communication collaborative

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: MLOps Engineer Location: [Insert Location – e.g., Gurugram / Remote / On-site] Experience: 2–5 years Type: Full-Time Key Responsibilities: Design, develop, and maintain end-to-end MLOps pipelines for seamless deployment and monitoring of ML models. Implement and manage CI/CD workflows using modern tools (e.g., GitHub Actions, Azure DevOps, Jenkins). Orchestrate ML services using Kubernetes for scalable and reliable deployments. Develop and maintain FastAPI-based microservices to serve machine learning models via RESTful APIs. Collaborate with data scientists and ML engineers to productionize models in Azure and AWS cloud environments. Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools. Ensure observability, logging, monitoring, and model drift detection in deployed solutions. Required Skills: Strong proficiency in Kubernetes for container orchestration. Experience with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. Hands-on experience with FastAPI for developing ML-serving APIs. Proficient in deploying ML workflows on Azure and AWS . Knowledge of containerization (Docker optional, if used during local development). Familiarity with model versioning, reproducibility, and experiment tracking tools (e.g., MLflow, DVC). Strong scripting skills (Python, Bash). Preferred Qualifications: B.Tech/M.Tech in Computer Science, Data Engineering, or related fields. Experience with Terraform, Helm, or other IaC tools. Understanding of DevOps practices and security in ML workflows. Good communication skills and a collaborative mindset. Show more Show less

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